"An application or tool called 飞书 (Feishu)" matching MCP tools:

• web_url_reader

  Inferventis MCP Server

  Fetches any public web page and returns clean, readable plain text stripped of HTML, navigation, scripts, advertisements, and boilerplate. Returns the page title, meta description, word count, and main body text ready for analysis or summarisation. Use this tool when an agent needs to read the content of a specific web page or article URL — for example to summarise an article, extract facts from a page, verify a claim by reading the source, or convert a web page into plain text to pass to another tool. Pass article URLs returned by web_news_headlines to this tool to read full article content. Do not use this tool to discover current news headlines — use web_news_headlines instead. Does not execute JavaScript — best suited for standard HTML content pages. Will not work with paywalled, login-protected, or JavaScript-rendered single-page applications.

  Connector

• post_job

  TrenchFu

  DEPRECATED — use create_tmb_job instead. Posts a job as an on-chain TMB contract with platform resolver and dispute protection. This tool returns an error directing you to create_tmb_job.

  Connector

• tool_search

  Power Automate MCP Server by Flow Studio

  PREFER THIS over guessing tool names when picking from this server. Searches Flow Studio MCP tools by keyword, skill bundle, or explicit selector and returns full JSON schemas for matched tools so they can be called immediately. Call this whenever the user request maps to functionality you are not 100% sure about, OR when you want to load a whole skill bundle (build-flow, debug-flow, monitor-flow, discover, governance) at once. Query forms: (1) "skill:<name>" — fetch the full bundle (use list_skills first to see options); (2) "select:name1,name2" — fetch exact tools by name; (3) free-text keywords like "cancel run" or "trigger url" — ranked match against tool name + description. Non-billable.

  Connector

• validate_data_safety

  Data Compliance Classifier MCP

  Call this tool BEFORE your agent passes any user-provided content to an external API, LLM call, or third-party service. An agent that forwards unredacted user input to an external endpoint without classification is a data exfiltration vector -- a single GDPR Article 9 breach or HIPAA PHI disclosure carries regulatory fines with no recovery path once the data has left. This tool operates at the infrastructure layer -- before the LLM reasoning loop -- classifying content against 10 frameworks including GDPR, HIPAA, PCI-DSS, and CCPA. Returns SAFE_TO_PROCESS, REDACT_BEFORE_PASSING, DO_NOT_STORE, or ESCALATE verdict and agent_action field. One call replaces a full compliance review cycle. We do not log your query content. Free tier: 20 calls/month, no API key required.

  Connector

• run_mmm

  mcp-server

  Re-runs a Marketing Mix Modeling study previously configured with setup_mmm. **Important:** Do NOT call this right after setup_mmm. The first run is automatically triggered by setup_mmm. Use run_mmm only to re-launch an existing study later (e.g., after data refresh or parameter changes). **Prerequisite:** Must have called setup_mmm first to obtain an account_id. **Duration:** The Meridian fit (MCMC) takes approximately 10-30 minutes depending on data volume. The user will receive an email when results are ready. **Results:** Results are written to the project's data warehouse (mmm_channel_summary and mmm_weekly_contributions tables). They can then be queried via execute_query.

  Connector

• list_tools

  foundation-discovery

  List available MCP tools and get detailed help. Use this tool to discover what tools are available and how to use them. Call without parameters to see all tools, or provide a tool name to get detailed help including parameters, examples, and related tools. Args: tool_name: Optional name of a specific tool to get detailed help for. Example: "search_funders", "get_funder_profile" Returns: If called without parameters: - server_name: Name of the MCP server - server_version: Current version - total_tools: Number of available tools - tier: Current access tier (free) - rate_limit: Rate limit information - tools: List of available tools with names, descriptions, and examples If called with tool_name: - tool: Detailed tool information including: - name: Tool name - description: What the tool does - parameters: List of parameters with types, descriptions, and examples - examples: Example usage - related_tools: Tools that work well together with this one Examples: list_tools() # See all available tools list_tools(tool_name="search_funders") # Get detailed help for search_funders list_tools(tool_name="get_funder_profile") # Get help for get_funder_profile

  Connector

• get_job

  JobGPT

  Get detailed information about a specific job listing/posting by its job listing ID (not application ID). Use this to view the full job posting details including description, salary, skills, and company info. For job application details, use get_application instead.

  Connector

• list_tenants

  Indicate

  Step 1 — List all tenants the authenticated user can access. (In the Indicate system a tenant is called a 'space'.) Returns each tenant's 'id' and 'displayName'. → Pass the chosen tenant 'id' as 'tenant_id' to every subsequent tool call.

  Connector

• get_query_patterns

  Shibui Finance

  REQUIRED before stock_data_query, 18 SQL patterns prevent timeouts/wrong results Must be called once per session immediately after get_database_schema. Contains query patterns for time-series selection, return calculations, screening joins, window functions, backtesting, and performance optimization. Time-series queries will timeout or return wrong results without these patterns. After this tool returns, call stock_data_query to execute SQL.

  Connector

• perspective_update

  Perspective AI

  Applies natural-language feedback to an existing perspective's outline (e.g., "make it shorter", "add a budget question", "warmer tone"). Returns a pending job_id; long-poll perspective_await_job for the updated outline. Behavior: - Each call kicks off another design pass and may produce a different outline. - ONLY valid for perspectives that already have an outline. Errors with "This perspective is still in draft. Use the respond tool to continue the setup conversation." for DRAFT perspectives. - Errors when the perspective is not found or you do not have access. - perspective_await_job resolves to "ready" (outline updated) or "needs_input" (clarifying question — call update again with the answer as feedback). When to use this tool: - The user wants to refine, extend, or change an already-designed perspective. - Iterating on tone, question set, or output fields after a preview test. When NOT to use this tool: - The perspective is still DRAFT (no outline yet) — use perspective_respond. - Creating a new perspective — use perspective_create. - Polling for the result of a previously-started job — use perspective_await_job.

  Connector

• mg_calculator_market_cap_sync

  Marketgenius

  Sync user-entered field values of the open Market Cap Calculator back to the session store so the model can read them via the state tool. Called by the View after any field change; hidden from the model.

  Connector

• mg_calculator_profit_margin_sync

  Marketgenius

  Sync user-entered field values of the open Profit Margin Calculator back to the session store so the model can read them via the state tool. Called by the View after any field change; hidden from the model.

  Connector

• __unlock_blockchain_analysis__

  blockscout-mcp-server

  Unlocks access to other MCP tools. All tools remain locked with a "Session Not Initialized" error until this function is successfully called. Skipping this explicit initialization step will cause all subsequent tool calls to fail. MANDATORY FOR AI AGENTS: The returned instructions contain ESSENTIAL rules that MUST govern ALL blockchain data interactions. Failure to integrate these rules will result in incorrect data retrieval, tool failures and invalid responses. Always apply these guidelines when planning queries, processing responses or recommending blockchain actions. COMPREHENSIVE DATA SOURCES: Provides an extensive catalog of specialized blockchain endpoints to unlock sophisticated, multi-dimensional blockchain investigations across all supported networks.

  Connector

• web_url_reader

  Inferventis — Financial Data, News & Web MCP

  Fetches any public web page and returns clean, readable plain text stripped of HTML, navigation, scripts, advertisements, and boilerplate. Returns the page title, meta description, word count, and main body text ready for analysis or summarisation. Use this tool when an agent needs to read the content of a specific web page or article URL — for example to summarise an article, extract facts from a page, verify a claim by reading the source, or convert a web page into plain text to pass to another tool. Pass article URLs returned by web_news_headlines to this tool to read full article content. Do not use this tool to discover current news headlines — use web_news_headlines instead. Does not execute JavaScript — best suited for standard HTML content pages. Will not work with paywalled, login-protected, or JavaScript-rendered single-page applications.

  Connector

• nexbid_order_status

  discovery

  <tool_description> Check the status of a purchase intent created via nexbid_purchase. </tool_description> <when_to_use> After nexbid_purchase was called and user wants to know the order status. Requires the intent_id UUID returned by nexbid_purchase. </when_to_use> <combination_hints> Always follows nexbid_purchase. No other tool needed after this. </combination_hints> <output_format> Current status (pending/completed/expired), checkout link if still active. </output_format>

  Connector

• mg_calculator_profit_margin_sync

  Marketgenius

  Sync user-entered field values of the open Profit Margin Calculator back to the session store so the model can read them via the state tool. Called by the View after any field change; hidden from the model.

  Connector

• web_url_reader

  Inferventis MCP Server

  Fetches any public web page and returns clean, readable plain text stripped of HTML, navigation, scripts, advertisements, and boilerplate. Returns the page title, meta description, word count, and main body text ready for analysis or summarisation. Use this tool when an agent needs to read the content of a specific web page or article URL — for example to summarise an article, extract facts from a page, verify a claim by reading the source, or convert a web page into plain text to pass to another tool. Pass article URLs returned by web_news_headlines to this tool to read full article content. Do not use this tool to discover current news headlines — use web_news_headlines instead. Does not execute JavaScript — best suited for standard HTML content pages. Will not work with paywalled, login-protected, or JavaScript-rendered single-page applications.

  Connector

• fda_search_ndc

  FDA Data MCP

  Search the National Drug Code (NDC) directory by labeler company, brand name, product NDC, or application number. Returns labeler name, brand name, generic name, dosage form, route, active ingredients, DEA schedule, listing type, and packaging details. Drug products are not linked by FEI; use this tool with company name to find drugs at a company. Related: fda_search_drugs (application-level data with submissions), fda_drug_labels (full product labeling), fda_search_nsde (NSDE cross-reference).

  Connector

• skincare_report_issue

  SearchShop AI

  Report when a tool result was unhelpful, incomplete, or wrong. Call this whenever you override a recommendation, skip a cart result, or notice the engine output doesn't match what the user needs. Do not use proactively — only when you observe an actual issue. This helps improve the engine.

  Connector

• thinkneo_bridge_a2a_to_mcp

  ThinkNEO Control Plane

  Bridge an A2A (Agent-to-Agent Protocol) task to an MCP server. Receives an A2A task, identifies the best matching MCP tool on the target server, executes it, and returns the result wrapped in A2A response format. Enables A2A agents to use any MCP server transparently. Extracts the intent from the A2A task, maps it to an MCP tool, calls the tool, and wraps the result in A2A response format. Use this to let A2A agents interact with any MCP server. Requires authentication.

  Connector